A single chip multi-function sensor system for wood inspection

Image processing is used in the forest products industry to detect various defects on wood surfaces. Normally, several different sensors are needed, which makes the systems complicated and expensive. In this paper we present a highly integrated sensor system for wood defect detection based on a single MAPP2200 smart sensor. Five different measuring principles are simultaneously utilized to detect surface grayscale, surface roughness, deviating grain direction, 3D-profile and surface density. Using a pixel resolution of 1/spl times/0.5 mm, the sensor permits scanning of boards at the speed of several meters per second.